Xiaofeng Fu

17 papers C 1Misc 2Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2024 conf
ICCAE
Jin Zheng, Hao Zou, Huaqiao Qiu, Ziyi Zhou, Xiaoran Li, Xiaofeng Fu, Ying Zhu
2024 J jnl
Multim. Tools Appl.
Xiaofeng Fu, Wenbin Wu, Masaki Omata
2023 J jnl
Sensors
Ruixiao Huang, Xiaofeng Fu, Yifei Pu
2021 C conf
CW
Fangkai Zhang, Xiaofeng Fu, Masaki Omata
2020 conf
CSAI
Jianbo Zhou, Xiaofeng Fu, Xiaojuan Fu, Yu Zhang
2019 J jnl
IEEE Access
Shanqing Zhang, Pengcheng Li, Yiheng Meng, Li Li, Qili Zhou, Xiaofeng Fu
2019 conf
CSAI
Xiaofeng Fu, Jun Wu, Xiaojuan Fu
2019 J jnl
Quant. Biol.
Xiaofeng Fu, Yang Yang
2018 conf
ICNC-FSKD
Xiaofeng Fu, Ke-Bo Fu, Yu Zhang, Qili Zhou, Xiaojuan Fu
2018 J jnl
Bioinform.
Yang Yang, Xiaofeng Fu, Wenhao Qu, Yiqun Xiao, Hong-Bin Shen
2018 conf
ISBRA
Xiaofeng Fu, Yiqun Xiao, Yang Yang
2017 Misc conf
ICMLC
Xiaofeng Fu, Ke-Bo Fu, Yu Zhang
2015 conf
IIH-MSP
Jianjun Li, Lijuan Meng, Zhihui Wang, Jiayou Du, Xiaofeng Fu, Chin-Chen Chang
2015 conf
IIH-MSP
Jianjun Li, Na Wu, Zhihui Wang, Jiayou Du, Xiaofeng Fu, Chin-Chen Chang
2012 conf
FSKD
Xiaofeng Fu, Rongbo Wang, Jinliang Yao, Hao Qi, Yunfei Guo
2010 Misc conf
ICNC
Xiaofeng Fu, Guojun Dai, Changjun Wang, Li Zhang
2008 conf
ICNC (4)
Xiaofeng Fu, Wei Wei
redb/extractors/decompiler/bninja/analysis/scores.py
← Index redb/extractors/decompiler/bninja/analysis/scores.py python
from collections import deque
from binaryninja import highlevelil
from binaryninja.enums import HighLevelILOperation


class ObfuscationScores:
    def __init__(self, hlil_function):
        self.function = hlil_function
        self._basic_blocks = list(hlil_function.basic_blocks) if hlil_function and hlil_function.basic_blocks else []
        self._block_count = len(self._basic_blocks)

    def flattened_score(self):
        """
        A heuristic for detecting control flow flattening from Tim Blazytko.
        Source: https://www.synthesis.to/2021/03/03/flattening_detection.html
        """
        if self._block_count == 0:
            return 0.0

        max_flattening_ratio = 0.0

        for basic_block in self._basic_blocks:
            dominated = get_dominated_by(basic_block)
            if not any(edge.source in dominated for edge in basic_block.incoming_edges):
                continue
            ratio = len(dominated) / self._block_count
            if ratio > max_flattening_ratio:
                max_flattening_ratio = ratio

        return max_flattening_ratio

    def MBA_score(self):
        """
        Score for MBA is obtained by the number of instructions that have at least one arithmetic operation and
        one logic operation DIVIDED by the number of instructions.
        """
        total = 0
        mba_count = 0

        for ins in self.function.instructions:
            total += 1
            if uses_mba(ins):
                mba_count += 1

        if total == 0:
            return 0.0

        return mba_count / total

def get_dominated_by(dominator):
    """
    Get the dominators that are dominated by the given dominator.
    (To recall the theory, a basic block B is called dominator for A if every path from START
    to A must include B)
    """
    result = set()
    worklist = deque([dominator])

    while worklist:
        block = worklist.popleft()
        if block in result:
            continue
        result.add(block)
        worklist.extend(block.dominator_tree_children)

    return result

_ARITHMETIC_OPS = frozenset({
    HighLevelILOperation.HLIL_ADD,
    HighLevelILOperation.HLIL_NEG,
    HighLevelILOperation.HLIL_SUB,
    HighLevelILOperation.HLIL_MUL,
    HighLevelILOperation.HLIL_DIVS,
    HighLevelILOperation.HLIL_MODS,
})

_LOGIC_OPS = frozenset({
    HighLevelILOperation.HLIL_NOT,
    HighLevelILOperation.HLIL_AND,
    HighLevelILOperation.HLIL_OR,
    HighLevelILOperation.HLIL_XOR,
    HighLevelILOperation.HLIL_LSR,
    HighLevelILOperation.HLIL_LSL,
})

_MBA_OPS = _ARITHMETIC_OPS | _LOGIC_OPS

def uses_mba(hlil_instruction):
    uses_logic = False
    uses_arithmetic = False
    stack = [hlil_instruction]

    while stack:
        instruction = stack.pop()

        if not isinstance(instruction, highlevelil.HighLevelILInstruction):
            continue

        op = instruction.operation

        if op not in _MBA_OPS:
            for operand in instruction.operands:
                if isinstance(operand, highlevelil.HighLevelILInstruction):
                    stack.append(operand)
            continue

        if op in _ARITHMETIC_OPS:
            uses_arithmetic = True
        else:
            uses_logic = True

        if uses_logic and uses_arithmetic:
            return True

        for operand in instruction.operands:
            if isinstance(operand, highlevelil.HighLevelILInstruction):
                stack.append(operand)

    return False